Journal article
Digital Filtering Implementations for the Detection of Broad Spectral Features by Direct Analysis of Passive Fourier Transform Infrared Interferograms
Applied spectroscopy, Vol.58(4), pp.432-441
04/2004
DOI: 10.1366/000370204773580284
PMID: 17140493
Abstract
Finite impulse response (FIR) filters and finite impulse response matrix (FIRM) filters are evaluated for use in the detection of volatile organic compounds with wide spectral bands by direct analysis of interferogram data obtained from passive Fourier transform infrared (FT-IR) measurements. Short segments of filtered interferogram points are classified by support vector machines (SVMs) to implement the automated detection of heated plumes of the target analyte, ethanol. The interferograms employed in this study were acquired with a downward-looking passive FT-IR spectrometer mounted on a fixed-wing aircraft. Classifiers are trained with data collected on the ground and subsequently used for the airborne detection. The success of the automated detection depends on the effective removal of background contributions from the interferogram segments. Removing the background signature is complicated when the analyte spectral bands are broad because there is significant overlap between the interferogram representations of the analyte and background. Methods to implement the FIR and FIRM filters while excluding background contributions are explored in this work. When properly optimized, both filtering procedures provide satisfactory classification results for the airborne data. Missed detection rates of 8% or smaller for ethanol and false positive rates of at most 0.8% are realized. The optimization of filter design parameters, the starting interferogram point for filtering, and the length of the interferogram segments used in the pattern recognition is discussed.
Details
- Title: Subtitle
- Digital Filtering Implementations for the Detection of Broad Spectral Features by Direct Analysis of Passive Fourier Transform Infrared Interferograms
- Creators
- Toshiyasu Tarumi - Center for Intelligent Chemical Instrumentation, Department of Chemistry and Biochemistry, Clippinger Laboratories, Ohio University, Athens, Ohio 45701-2979 (T.T., G.W.S.); and Los Alamos National Laboratory, P.O. Box 1663, MS E543, Los Alamos, New Mexico 87545 (R.J.C., R.T.K.)Gary W Small - Center for Intelligent Chemical Instrumentation, Department of Chemistry and Biochemistry, Clippinger Laboratories, Ohio University, Athens, Ohio 45701-2979 (T.T., G.W.S.); and Los Alamos National Laboratory, P.O. Box 1663, MS E543, Los Alamos, New Mexico 87545 (R.J.C., R.T.K.)Roger J Combs - Center for Intelligent Chemical Instrumentation, Department of Chemistry and Biochemistry, Clippinger Laboratories, Ohio University, Athens, Ohio 45701-2979 (T.T., G.W.S.); and Los Alamos National Laboratory, P.O. Box 1663, MS E543, Los Alamos, New Mexico 87545 (R.J.C., R.T.K.)Robert T Kroutil - Center for Intelligent Chemical Instrumentation, Department of Chemistry and Biochemistry, Clippinger Laboratories, Ohio University, Athens, Ohio 45701-2979 (T.T., G.W.S.); and Los Alamos National Laboratory, P.O. Box 1663, MS E543, Los Alamos, New Mexico 87545 (R.J.C., R.T.K.)
- Resource Type
- Journal article
- Publication Details
- Applied spectroscopy, Vol.58(4), pp.432-441
- DOI
- 10.1366/000370204773580284
- PMID
- 17140493
- ISSN
- 0003-7028
- eISSN
- 1943-3530
- Language
- English
- Date published
- 04/2004
- Academic Unit
- Chemistry
- Record Identifier
- 9984216718502771
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